Some Statistical Methods for Random Process Data from Seismology and Neurophysiology
本文展示了分析随机过程数据的统计技术及其在地震学和神经生理学中的应用，包括频率估计、信号估计、关联测量、因果连接评估、速度和方向估计以及结构建模。
Examples are presented of statistical techniques for the analysis of random process data and of their uses in the substantive fields of seismology and neurophysiology. The problems addressed include frequency estimation for decaying cosinusoids, signal estimation, association measurement, causal connection assessment, estimation of speed and direction and structural modeling. The techniques employed include complex demodulation, nonlinear regression, probit analysis, deconvolution, maximum likelihood, singular value decomposition, Fourier analysis and averaging.